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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Comparable Studies of Financial Bankruptcy Prediction Using Advanced Hybrid Intelligent Classification Models to Provide Early Warning in the Electronics Industry
You‐Shyang Chen, Chien-Ku Lin, Chih-Min Lo, et al.
Mathematics (2021) Vol. 9, Iss. 20, pp. 2622-2622
Open Access | Times Cited: 18

Showing 18 citing articles:

Systematic Review of Financial Distress Identification using Artificial Intelligence Methods
Dovilė Kuizinienė, Tomas Krilavičius, Robertas Damaševičius, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 31
Artificial intelligence in predicting the bankruptcy of non-financial corporations
Beata Gavurová, Sylvia Jenčová, Radovan Bačík, et al.
Oeconomia Copernicana (2022) Vol. 13, Iss. 4, pp. 1215-1251
Open Access | Times Cited: 22
Bank Soundness Level Prediction: ANFIS vs Deep Learning
Satia Nur Maharani
Journal of Applied Data Sciences (2023) Vol. 4, Iss. 3, pp. 175-189
Open Access | Times Cited: 13
Machine learning techniques in bankruptcy prediction: A systematic literature review
Απόστολος Δασίλας, Anna Rigani
Expert Systems with Applications (2024) Vol. 255, pp. 124761-124761
Closed Access | Times Cited: 5
Challenges of Artificial Intelligence for the Prevention and Identification of Bankruptcy Risk in Financial Institutions: A Systematic Review
Luis-Javier Vásquez-Serpa, Ciro Rodríguez, Jhelly Pérez, et al.
Journal of risk and financial management (2025) Vol. 18, Iss. 1, pp. 26-26
Open Access
Efficient bankruptcy prediction and its role for a more resilient Alpine tourism
Alexander Plaikner, Marco Haid, Marcus Tänzel, et al.
International Journal of Business Ecosystem and Strategy (2687-2293) (2025) Vol. 7, Iss. 1, pp. 152-172
Open Access
Integrative Analysis of Traditional and Cash Flow Financial Ratios: Insights from a Systematic Comparative Review
Dimitra Seretidou, Dimitrios Billios, Antonios Stavropoulos
Risks (2025) Vol. 13, Iss. 4, pp. 62-62
Open Access
Financial distress forecasting with a machine learning approach
Hong Hanh Ha, Dang Ngoc Hung, Mạnh Dũng Trần
Corporate Governance and Organizational Behavior Review (2023) Vol. 7, Iss. 3, pp. 90-104
Open Access | Times Cited: 7
Is Artificial Intelligence Really More Accurate in Predicting Bankruptcy?
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová
International Journal of Financial Studies (2024) Vol. 12, Iss. 1, pp. 8-8
Open Access | Times Cited: 2
Tri-XGBoost model improved by BLSmote-ENN: an interpretable semi-supervised approach for addressing bankruptcy prediction
Salima Smiti, Makram Soui, Khaled Ghédira
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 3883-3920
Closed Access | Times Cited: 2
An Analysis of the Financial Liquidity Management Strategy in Construction Companies Operating in the Podkarpackie Province
Grzegorz Zimon, Joanna Nakonieczny, Katarzyna Chudy–Laskowska, et al.
Risks (2021) Vol. 10, Iss. 1, pp. 5-5
Open Access | Times Cited: 17
Predicting bankruptcy using artificial intelligence: The case of the engineering industry
Stanislav Letkovský, Sylvia Jenčová, Petra Vašaničová, et al.
Economics & Sociology (2023) Vol. 16, Iss. 4, pp. 178-190
Open Access | Times Cited: 5
Market Efficiency and Stock Investment Loss Aversion Guide During COVID-19 Pandemic Events: The Case for Applying Data Mining
Yen-Chang Chen, Ying-Sing Liu
SAGE Open (2023) Vol. 13, Iss. 4
Open Access | Times Cited: 4
Corporate Bankruptcy Prediction Models: A Comparative Study for the Construction Sector in Greece
Kanellos Toudas, Stefanos Archontakis, Paraskevi Boufounou
Computation (2024) Vol. 12, Iss. 1, pp. 9-9
Open Access | Times Cited: 1
Analisis Bibliometrik Kinerja Keuangan dan Manajemen Resiko
Cecep Taufikurochman, Budi Harto, Lilis Saidah Napisah
JRAK (Jurnal Riset Akuntansi dan Bisnis) (2023) Vol. 9, Iss. 1, pp. 181-190
Open Access | Times Cited: 3
Bankruptcy Prediction for Sustainability of Businesses: The Application of Graph Theoretical Modeling
Jarmila Horváthová, Martina Mokrišová, Martin Bača
Mathematics (2023) Vol. 11, Iss. 24, pp. 4966-4966
Open Access | Times Cited: 2
Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia’s Consumers Cyclical Companies
Niken Prasasti Martono, Hayato Ohwada
Communications in computer and information science (2023), pp. 53-61
Closed Access
Difference Between the Real and Estimated Size of a Company
Gerardo Reyes Ruíz
Advances in finance, accounting, and economics book series (2023), pp. 301-332
Closed Access
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